Methods › General › Non-Parametric Regression › Gaussian Process › Papers, page 11

Gaussian Process

Papers archive 2025-07-28

archive papers tagged: 2,473 · with a code link: 734 · where Syntology ran a sample: 155 (130 with a run with no instrument failure, 25 where every run was a failure of Syntology's instrument) Syntology

Show: all tagged papersonly where code ran (155 of 2,473 tagged: 130 with a run with no instrument failure, 25 where every run was a failure of Syntology's instrument)

Page 11 of 25: papers 1,001 to 1,100 of 2,473, newest first by the archive's date (ties by slug), in archive order.

Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code, as “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the instrument figure counts failures of Syntology's instrument, not of the code. It is per sample and not a correctness claim. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code; “community repositories only” when every sample that ran came from a community repository, “official: no sample here; runs from other or unrecorded repositories” when some came from a repository the paper names or has in its text, or from none recorded); hover it for the repositories the samples that ran came from.

• Learning Interacting Dynamical Systems with Latent Gaussian Process ODEs
  24 May 2022 · 1 repository · arXiv:2205.11894
  Syntology official (archive's flag): 3 ran · 3 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified (of 3 harvested samples) · 3 pointer-only (licence)
• Exact Gaussian Processes for Massive Datasets via Non-Stationary Sparsity-Discovering Kernels
  18 May 2022 · 0 repositories · arXiv:2205.09070
• Deep neural networks with dependent weights: Gaussian Process mixture limit, heavy tails, sparsity and compressibility
  17 May 2022 · 1 repository · arXiv:2205.08187
• High-dimensional additive Gaussian processes under monotonicity constraints
  17 May 2022 · 1 repository · arXiv:2205.08528
• On the inability of Gaussian process regression to optimally learn compositional functions
  16 May 2022 · 0 repositories · arXiv:2205.07764
• Incorporating Prior Knowledge into Neural Networks through an Implicit Composite Kernel
  15 May 2022 · 1 repository · arXiv:2205.07384
• A hybrid data driven-physics constrained Gaussian process regression framework with deep kernel for uncertainty quantification
  13 May 2022 · 0 repositories · arXiv:2205.06494
• Modelling stellar activity with Gaussian process regression networks
  13 May 2022 · 1 repository · arXiv:2205.06627
• Probabilistic Estimation of Instantaneous Frequencies of Chirp Signals
  12 May 2022 · 1 repository · arXiv:2205.06306
• Bayesian learning of effective chemical master equations in crowded intracellular conditions
  11 May 2022 · 1 repository · arXiv:2205.06268
• Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis
  11 May 2022 · 2 repositories · arXiv:2205.05662
  Syntology official (archive's flag): 19 ran · 19 ran (of which 0 constructed an object rather than computing a result; 16 with no instrument failure: 0 honoured, 2 violated, 14 with no contract checked; 3 where Syntology's instrument failed) · 2 unverified (of 21 harvested samples) · 2 pointer-only (licence)
• Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization
  11 May 2022 · 0 repositories · arXiv:2205.05505
• A neural network model for timing control with reinforcement
  9 May 2022 · 1 repository · arXiv:2205.04347
• Machine Learning Diffusion Monte Carlo Energies
  9 May 2022 · 0 repositories · arXiv:2205.04547
• Investigating Generalization by Controlling Normalized Margin
  8 May 2022 · 1 repository · arXiv:2205.03940
• AODisaggregation: toward global aerosol vertical profiles
  6 May 2022 · 1 repository · arXiv:2205.04296
• Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction
  5 May 2022 · 1 repository · arXiv:2205.02708
• A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness
  1 May 2022 · 2 repositories · arXiv:2205.00403
  Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample) · 1 pointer-only (licence)
• Deep Ensemble as a Gaussian Process Approximate Posterior
  30 Apr 2022 · 0 repositories · arXiv:2205.00163
• High Dimensional Bayesian Optimization with Kernel Principal Component Analysis
  28 Apr 2022 · 0 repositories · arXiv:2204.13753
• Confidence Band Estimation for Survival Random Forests
  26 Apr 2022 · 1 repository · arXiv:2204.12038
• Personalized Driving Behaviors and Fuel Economy over Realistic Commute Traffic: Modeling, Correlation, and Prediction
  26 Apr 2022 · 0 repositories · arXiv:2204.12540
• A Bayesian Approach To Graph Partitioning
  24 Apr 2022 · 0 repositories · arXiv:2204.12927
• Accurate Molecular-Orbital-Based Machine Learning Energies via Unsupervised Clustering of Chemical Space
  21 Apr 2022 · 0 repositories · arXiv:2204.09831
• Inducing Gaussian Process Networks
  21 Apr 2022 · 0 repositories · arXiv:2204.09889
• A Data-Driven Method for Automated Data Superposition with Applications in Soft Matter Science
  20 Apr 2022 · 1 repository · arXiv:2204.09521
• Predicting and Optimizing for Energy Efficient ACMV Systems: Computational Intelligence Approaches
  19 Apr 2022 · 0 repositories · arXiv:2205.00833
• An advanced spatio-temporal convolutional recurrent neural network for storm surge predictions
  18 Apr 2022 · 0 repositories · arXiv:2204.09501
• Local Random Feature Approximations of the Gaussian Kernel
  12 Apr 2022 · 1 repository · arXiv:2204.05667
  Syntology official (archive's flag): 6 ran · 6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 6 harvested samples)
• RMFGP: Rotated Multi-fidelity Gaussian process with Dimension Reduction for High-dimensional Uncertainty Quantification
  11 Apr 2022 · 0 repositories · arXiv:2204.04819
• Active-learning-based non-intrusive Model Order Reduction
  8 Apr 2022 · 0 repositories · arXiv:2204.08523
• Single-level Adversarial Data Synthesis based on Neural Tangent Kernels
  8 Apr 2022 · 2 repositories · arXiv:2204.04090
• PAGP: A physics-assisted Gaussian process framework with active learning for forward and inverse problems of partial differential equations
  6 Apr 2022 · 0 repositories · arXiv:2204.02583
• Deep surrogate accelerated delayed-acceptance HMC for Bayesian inference of spatio-temporal heat fluxes in rotating disc systems
  5 Apr 2022 · 1 repository · arXiv:2204.02272
• GP-BART: a novel Bayesian additive regression trees approach using Gaussian processes
  5 Apr 2022 · 1 repository · arXiv:2204.02112
• Diverse Text Generation via Variational Encoder-Decoder Models with Gaussian Process Priors
  4 Apr 2022 · 1 repository · arXiv:2204.01227
  Syntology official (archive's flag): 5 ran · 5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 5 harvested samples)
• Learning-Based Safe Motion Control of Vehicle Ski-Stunt Maneuvers
  3 Apr 2022 · 0 repositories · arXiv:2204.01101
• MBORE: Multi-objective Bayesian Optimisation by Density-Ratio Estimation
  31 Mar 2022 · 1 repository · arXiv:2203.16912
• Wind Farm Layout Optimisation using Set Based Multi-objective Bayesian Optimisation
  31 Mar 2022 · 0 repositories · arXiv:2203.17065
• Impact of Information Flow Topology on Safety of Tightly-coupled Connected and Automated Vehicle Platoons Utilizing Stochastic Control
  29 Mar 2022 · 0 repositories · arXiv:2203.15772
• Indoor SLAM Using a Foot-mounted IMU and the local Magnetic Field
  29 Mar 2022 · 0 repositories · arXiv:2203.15866
• Safe Active Learning for Multi-Output Gaussian Processes
  28 Mar 2022 · 1 repository · arXiv:2203.14849
  Syntology official: harvested, nothing ran · 0 ran · 1 unverified (of 1 harvested sample) · 1 pointer-only (licence)
• Probabilistic Registration for Gaussian Process 3D shape modelling in the presence of extensive missing data
  26 Mar 2022 · 0 repositories · arXiv:2203.14113
• Multi-armed bandits for resource efficient, online optimization of language model pre-training: the use case of dynamic masking
  24 Mar 2022 · 1 repository · arXiv:2203.13151
• Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders
  23 Mar 2022 · 2 repositories · arXiv:2203.12742
• Towards Backwards-Compatible Data with Confounded Domain Adaptation
  23 Mar 2022 · 1 repository · arXiv:2203.12720
• Verification of safety critical control policies using kernel methods
  23 Mar 2022 · 0 repositories · arXiv:2203.12407
• GiNGR: Generalized Iterative Non-Rigid Point Cloud and Surface Registration Using Gaussian Process Regression
  18 Mar 2022 · 1 repository · arXiv:2203.09986
• Look-Ahead Acquisition Functions for Bernoulli Level Set Estimation
  18 Mar 2022 · 1 repository · arXiv:2203.09751
• Privacy-Preserving Reinforcement Learning Beyond Expectation
  18 Mar 2022 · 0 repositories · arXiv:2203.10165
• A Framework and Benchmark for Deep Batch Active Learning for Regression
  17 Mar 2022 · 2 repositories · arXiv:2203.09410
  Syntology official (archive's flag): 6 ran · 6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified (of 8 harvested samples)
• Active Visuo-Haptic Object Shape Completion
  17 Mar 2022 · 1 repository · arXiv:2203.09149
• Maximum Likelihood Estimation in Gaussian Process Regression is Ill-Posed
  17 Mar 2022 · 0 repositories · arXiv:2203.09179
• On the Spectral Bias of Convolutional Neural Tangent and Gaussian Process Kernels
  17 Mar 2022 · 0 repositories · arXiv:2203.09255
• Learning Representation for Bayesian Optimization with Collision-free Regularization
  16 Mar 2022 · 0 repositories · arXiv:2203.08656
• ActFormer: A GAN-based Transformer towards General Action-Conditioned 3D Human Motion Generation
  15 Mar 2022 · 0 repositories · arXiv:2203.07706
• Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization
  15 Mar 2022 · 0 repositories · arXiv:2203.07875
• Modelling Non-Smooth Signals with Complex Spectral Structure
  14 Mar 2022 · 3 repositories · arXiv:2203.06997
• On Connecting Deep Trigonometric Networks with Deep Gaussian Processes: Covariance, Expressivity, and Neural Tangent Kernel
  14 Mar 2022 · 0 repositories · arXiv:2203.07411
• Learning cardiac activation maps from 12-lead ECG with multi-fidelity Bayesian optimization on manifolds
  11 Mar 2022 · 0 repositories · arXiv:2203.06222
• Asymptotic Bounds for Smoothness Parameter Estimates in Gaussian Process Interpolation
  10 Mar 2022 · 0 repositories · arXiv:2203.05400
• Discrepancy Modeling Framework: Learning missing physics, modeling systematic residuals, and disambiguating between deterministic and random effects
  10 Mar 2022 · 1 repository · arXiv:2203.05164
• Bayesian Calibration for Activity Based Models
  8 Mar 2022 · 0 repositories · arXiv:2203.04414
• Informative Planning for Worst-Case Error Minimisation in Sparse Gaussian Process Regression
  8 Mar 2022 · 0 repositories · arXiv:2203.03828
• Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Matérn Correlations
  7 Mar 2022 · 0 repositories · arXiv:2203.03116
• Fully Decentralized, Scalable Gaussian Processes for Multi-Agent Federated Learning
  6 Mar 2022 · 0 repositories · arXiv:2203.02865
• Debiased Batch Normalization via Gaussian Process for Generalizable Person Re-Identification
  3 Mar 2022 · 0 repositories · arXiv:2203.01723
• Gaussian Process-based Spatial Reconstruction of Electromagnetic fields
  3 Mar 2022 · 0 repositories · arXiv:2203.01869
• Asynchronous Optimisation for Event-based Visual Odometry
  2 Mar 2022 · 0 repositories · arXiv:2203.01037
• Learning Conditional Variational Autoencoders with Missing Covariates
  2 Mar 2022 · 0 repositories · arXiv:2203.01218
• Data-efficient learning of object-centric grasp preferences
  1 Mar 2022 · 0 repositories · arXiv:2203.00384
• StrongSORT: Make DeepSORT Great Again
  28 Feb 2022 · 14 repositories · arXiv:2202.13514
  Syntology official (archive's flag): 1 ran · 16 ran (of which 0 constructed an object rather than computing a result; 15 with no instrument failure: 2 honoured, 0 violated, 13 with no contract checked; 1 where Syntology's instrument failed) · 4 unverified (of 20 harvested samples) · 4 pointer-only (licence)
• A Robust Multi-Objective Bayesian Optimization Framework Considering Input Uncertainty
  25 Feb 2022 · 0 repositories · arXiv:2202.12848
• Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains
  25 Feb 2022 · 0 repositories · arXiv:2202.12636
• Learning the nonlinear dynamics of soft mechanical metamaterials with graph networks
  24 Feb 2022 · 1 repository · arXiv:2202.13775
• Networked Online Learning for Control of Safety-Critical Resource-Constrained Systems based on Gaussian Processes
  23 Feb 2022 · 0 repositories · arXiv:2202.11491
• Adaptive Cholesky Gaussian Processes
  22 Feb 2022 · 2 repositories · arXiv:2202.10769
• Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces
  22 Feb 2022 · 0 repositories · arXiv:2202.10613
• On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization
  22 Feb 2022 · 0 repositories · arXiv:2202.10669
• Parallel MCMC Without Embarrassing Failures
  22 Feb 2022 · 1 repository · arXiv:2202.11154
• Adjoint-aided inference of Gaussian process driven differential equations
  9 Feb 2022 · 0 repositories · arXiv:2202.04589
• Precision Radiotherapy via Information Integration of Expert Human Knowledge and AI Recommendation to Optimize Clinical Decision Making
  9 Feb 2022 · 0 repositories · arXiv:2202.04565
• Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning
  8 Feb 2022 · 0 repositories · arXiv:2202.04005
• Multi-model Ensemble Analysis with Neural Network Gaussian Processes
  8 Feb 2022 · 0 repositories · arXiv:2202.04152
• Gaussian Graphical Models as an Ensemble Method for Distributed Gaussian Processes
  7 Feb 2022 · 0 repositories · arXiv:2202.03287
• Identifying stimulus-driven neural activity patterns in multi-patient intracranial recordings
  4 Feb 2022 · 0 repositories · arXiv:2202.01933
• Multi-Output Gaussian Process-Based Data Augmentation for Multi-Building and Multi-Floor Indoor Localization
  4 Feb 2022 · 0 repositories · arXiv:2202.01980
• A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits
  3 Feb 2022 · 0 repositories · arXiv:2202.01850
• Safe Learning for Uncertainty-Aware Planning via Interval MDP Abstraction
  3 Feb 2022 · 0 repositories · arXiv:2202.01358
• Variational Nearest Neighbor Gaussian Process
  3 Feb 2022 · 0 repositories · arXiv:2202.01694
• Posterior temperature optimized Bayesian models for inverse problems in medical imaging
  2 Feb 2022 · 1 repository · arXiv:2202.00986
• Position-Dependent Snap Feedforward: A Gaussian Process Framework
  1 Feb 2022 · 0 repositories · arXiv:2202.00257
• Backcasting COVID-19: A Physics-Informed Estimate for Early Case Incidence
  31 Jan 2022 · 0 repositories · arXiv:2202.00507
• Bayesian Optimization For Multi-Objective Mixed-Variable Problems
  30 Jan 2022 · 0 repositories · arXiv:2201.12767
• Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times
  30 Jan 2022 · 0 repositories · arXiv:2201.12909
• A Probabilistic Framework for Dynamic Object Recognition in 3D Environment With A Novel Continuous Ground Estimation Method
  27 Jan 2022 · 0 repositories · arXiv:2201.11608
• A Kernel-Based Approach for Modelling Gaussian Processes with Functional Information
  26 Jan 2022 · 0 repositories · arXiv:2201.11023
• Adaptive Outlier Detection for Power MOSFETs Based on Gaussian Process Regression
  25 Jan 2022 · 0 repositories · arXiv:2201.10126
• From Rough to Multifractal volatility: the log S-fBM model
  24 Jan 2022 · 0 repositories · arXiv:2201.09516
• On the adaptation of recurrent neural networks for system identification
  21 Jan 2022 · 1 repository · arXiv:2201.08660